Business Analyst supporting analytical aspects of product management lifecycle for Highmark Health. Collaborating with stakeholders to gather requirements and prioritize product features in a hybrid work environment.
About the role
- Product-oriented Analyst analyzing metrics and client behavior to drive business outcomes for clients. Working with multiple data sources and collaborating with stakeholders in a hybrid work environment.
Responsibilities
- Increase the speed and quality of product hypothesis validation.
- Analyze core product funnels and metrics: registration → KYC → first deposit, repeat deposits, retention, churn, LTV, ARPU/ARPPU, client engagement, etc.
- Work with data from multiple sources: Google Analytics 4, ClickHouse, BigQuery (or other DWH), payment providers, CRM, marketing platforms, and internal event tracking.
- Design, monitor, and analyze A/B tests and product experiments (features, UX flows, promos, bonus mechanics) and translate results into actionable product decisions.
- Build and maintain dashboards in BI tools (Looker Studio, Tableau, etc.) for product and business stakeholders.
- Perform cohort, segmentation, and retention analysis across markets, devices, and client segments (new vs returning, VIP, high-risk, etc.).
- Conduct deep-dive investigations into metric drops, anomalies, and performance issues; identify growth drivers and potential risks.
- Translate business questions into structured analytical tasks: define hypotheses, success metrics, and analytical approaches together with product managers.
- Contribute to tracking and data quality: define product event requirements and collaborate with developers and analytics engineers to ensure data completeness and accuracy.
- Prepare clear presentations and visualizations to communicate insights to both technical and non-technical stakeholders (Product, Marketing, Risk, Leadership).
Requirements
- 3+ years of experience in product or data analytics.
- Strong SQL skills: complex joins, window functions, CTEs, and query optimization for large datasets (ideally ClickHouse and BigQuery).
- Hands-on experience working with GA4 data (events, parameters, user properties, funnels, explorations; exporting GA4 data to DWH is a plus).
- Practical experience with at least one modern BI tool (Looker Studio, Tableau, etc.) — building interactive dashboards for stakeholders.
- Experience planning and analyzing A/B tests: metric selection, statistical significance validation, and clear interpretation of results.
- Strong understanding of key product metrics: conversion, activation, engagement, retention, churn, LTV, ARPU/ARPPU, cohort logic, segmentation.
- Ability to structure ambiguous problems, work independently, and communicate analytical findings in business terms.
- English — B2 or higher (written and spoken).
- ******Nice to Have:**
- Experience with Python for analytics and experimentation (pandas, numpy, Jupyter, statistics, visualization).
- Experience with event tracking design and implementation (GA4, custom tracking, Firebase / Appsflyer).
- Experience contributing to end-to-end analytics stacks (ETL/ELT, DWH modeling, data quality monitoring).
Benefits
- Enjoy 5 health days to focus on your well-being.
- Take advantage of 25 paid calendar vacation days to explore, relax, and unwind.
- Get a $30 net per month sports compensation to stay active and healthy.
- Benefit from top-notch medical insurance for peace of mind.
- Indulge in a variety of snacks available in the office.
- Join us for exciting corporate events that foster team spirit and fun!
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